{"id":"W2122119298","doi":"10.1002/aic.11486","title":"Process analysis of CO<sub>2</sub> capture from flue gas using carbonation/calcination cycles","year":2008,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Chemical Looping and Thermochemical Processes","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Carbonation; Calcination; Flue gas; Sorbent; Waste management; Regenerative heat exchanger; Chemical engineering; Chemistry; Materials science; Heat exchanger; Adsorption; Engineering; Catalysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008373673,0.0001323001,0.000290457,0.0001810527,0.00007932598,0.00001748935,0.0001350726,0.0001235006,0.0000343816],"category_scores_gemma":[0.0001055645,0.0001233722,0.0001277728,0.0006044925,0.00004701354,0.0001459849,0.000009424283,0.0003101095,0.000002009577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000845232,"about_ca_system_score_gemma":0.00003955792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002250004,"about_ca_topic_score_gemma":0.000004501057,"domain_scores_codex":[0.9990842,0.00001623461,0.0003245839,0.0001169729,0.0002938215,0.0001641714],"domain_scores_gemma":[0.9994249,0.00008265302,0.0001149419,0.00009812639,0.0001854865,0.00009387606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009009406,0.00003006533,0.002749458,0.00003941499,0.0005036919,0.000008089472,0.0006205405,0.06678287,0.9285755,0.000003838236,0.00009160215,0.000585962],"study_design_scores_gemma":[0.0002128577,0.000004844262,0.002618855,0.00005451009,0.0003623141,0.00003126985,0.00007337936,0.09437286,0.9013729,0.0007357899,0.000010975,0.0001494486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952234,0.0009758306,0.00320514,0.00003526557,0.00006242975,0.00002854545,0.00001762131,0.00006132273,0.0003904302],"genre_scores_gemma":[0.9993085,0.0001910225,0.0002587881,0.00002502428,0.0001570722,0.000001264657,0.00003524659,0.00002089892,0.000002190658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02758999,"threshold_uncertainty_score":0.5030972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01465526357039845,"score_gpt":0.2438567366771624,"score_spread":0.229201473106764,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}